Java Developer (Data Platform)

It’s not every day that you consider starting a new career. We’re happy that someone as talented as you is considering this role. RingCentral is a $2 billion global leader in cloud-based communications and collaboration software. We are fundamentally changing the nature of human interaction—giving people the freedom to connect powerfully and personally from anywhere, at any time, on any device.

As a member of the Data Platform Team, you will design, implement, and maintain robust data platforms that handle large-scale data processing and management. You’ll collaborate with cross-functional teams to model data pipelines, develop solutions for complex data challenges, and ensure our platform is built to scale efficiently across a wide variety of use cases and systems.

This role requires on-site presence at our office 4 days a week to support effective collaboration and teamwork.

Responsibilities:

• Design, implement, and support data platform applications using modern technologies in a dynamic, fast-evolving environment.
• Develop and optimize large-scale data pipelines, ensuring high performance, reliability, and scalability.
• Collaborate with various teams to model complex data relationships and provide insights to support data-driven decisions.
• Ensure data platform architecture and infrastructure remain resilient, efficient, and scalable to meet the company's growing data needs.
• Promote a knowledge-sharing environment, mentoring peers and contributing to the team's success.

Technology Stack:

• Core Technologies: Java, Scala, ANSI SQL, Apache Spark, Apache Airflow, Apache Hadoop (HDFS, YARN), Apache Hive, Apache Impala, Apache Flume, MongoDB, AWS (Amazon Web Services), Snowflake.

Skills & Requirements:

• 3+ years of hands-on experience with Java or Scala programming.
• Strong grasp of Java concepts (collections, serialization, multi-threading, lambda expressions, JVM architecture, etc.).
• Proficiency in ANSI SQL, including query syntax, performance tuning, and knowledge of OLAP vs. OLTP.
• Ability to quickly learn new technologies and integrate them into existing infrastructure.
• A deep understanding of architecture patterns in distributed systems, especially in data platform environments.

Preferred Qualifications:

• Experience working with Hadoop ecosystem components and big data frameworks.
• Hands-on experience with Hadoop, Spark, Kafka, or other data streaming technologies.
• Familiarity with designing and implementing ETL (Extract, Transform, Load) processes.
• Basic knowledge of Python and its use in data engineering tasks.
• Experience with data visualization/analysis tools (e.g., Tableau) to drive insights.
• Proficiency with Linux and cloud-based infrastructure (especially AWS).
• Intermediate or higher proficiency in written and spoken English.

What we offer: 

• Well-coordinated professional team.
• Cutting edge technologies, interesting and challenging tasks, dynamic projects, great opportunities for self-realization, professional and career growth.
• Additional Health and Life Insurance Package.
• Employee Assistance Program.
• 25 vacation days.

• 200 BGN Digital Food Vouchers via EdenRed and their application.

• 120 BGN Gross as part of the salary for Working Expenses Allowance.

About RingCentral

RingCentral, Inc. (NYSE: RNG) is a leading provider of business cloud communications and contact center solutions based on its powerful Message Video Phone™  (MVP™) global platform. More flexible and cost effective than legacy on-premises PBX and video conferencing systems that it replaces, RingCentral® empowers modern mobile and distributed workforces to communicate, collaborate, and connect via any mode, any device, and any location. RingCentral is headquartered in Belmont, California, and has offices around the world.

RingCentral is an equal opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.